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Climate Informatics 2013

The amount of observational and model-simulated data within the climate sciences has grown at an accelerating rate since the early 1980s. The increasing amount of available data creates many opportunities for researchers in machine learning and statistics to partner with climate scientists in the development of new methods for interdisciplinary knowledge discovery.
Climate informatics broadly refers to any research combining climate science with approaches from statistics, machine learning and data mining. The Climate Informatics workshop series, now in its third year, seeks to bring together researchers from all of these areas. We aim to stimulate the discussion of new ideas, foster new collaborations, grow the climate informatics community, and thus accelerate discovery across disciplinary boundaries.
The format of the workshop seeks to overcome cross-disciplinary language barriers and to emphasize communication between participants by featuring tutorials, invited talks, panel discussions, posters and break-out sessions. The programs of previous workshops can be found here (CI 2012, CI 2011). We invite all researchers interested in learning about critical issues and opportunities in the field of climate informatics to join us, whether established in the field or just starting out.

Invited Speakers

Gil Compo, CIRES, University of Colorado/ ESRL, NOAA
Noel Cressie, University of Wollongong/ Jet Propulsion Laboratory/ University of Missouri
Noah Diffenbaugh, Stanford University
Lise Getoor, University of Maryland
Claire Monteleoni, George Washington University
David Neelin, UCLA
Susan Tolwinski-Ward, NCAR

The conference logo image is courtesy of Michael Tippett. Colors show deviations of sea-surface temperatures from their climatological values in the equatorial Pacific from January 1997 to April 2000 with time going counter-clockwise.